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Progressive Insurance · 1 day ago

Data Analyst – Enterprise Quality

United States

Full-time

Remote

Mid, Senior Level

$81K/yr - $131K/yr

5+ years exp

Progressive Insurance is dedicated to helping employees move forward and live fully in their careers. As a Data Analyst of Enterprise Quality on the Enterprise Risk Management team, you will coordinate the accuracy and efficiency of business processes while driving continuous improvement initiatives and collaborating with stakeholders to align on quality goals.

Auto InsuranceAutomotiveCommercial InsuranceHealth InsuranceInformation TechnologyInsuranceLogistics

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Coordinate the accuracy, efficiency, and effectiveness of business processes through scheduled quality reviews

Develop and refine quality review procedures, collaborating with leadership to establish criteria and scoring metrics

Drive continuous improvement initiatives across the organization

Collaborate with stakeholders across departments to align on enterprise quality goals and objectives

Contribute to the development and refinement of quality assurance processes, templates, and documentation to support enterprise-wide consistency

Qualification

Data analysisSQLExcelTableauPower BIProcess improvementQuality metricsSix SigmaLeanTotal Quality ManagementISO 9001CMMIITIL

Required

A minimum of six years of analytical work experience

{OR} Bachelor's degree or higher and a minimum of five years of analytical work experience

{OR} Bachelor's degree or higher in a quantitative field of study and a minimum of three years analytical work experience

Preferred

Proficiency in analyzing data and identifying trends using tools like Excel, SQL, Tableau, or Power BI

Knowledge of defect tracking, management systems, enterprise systems, databases, and IT infrastructure

Ability to create detailed reports and dashboards to track quality metrics and present quality metrics, reports, and recommendations to executives and collaborators

Understanding of process improvement frameworks, such as Six Sigma, Lean, or Total Quality Management (TQM), and the ability to identify inefficiencies and recommend improvements

Familiarity with industry standards and regulations, such as ISO 9001, CMMI, or ITIL while demonstrating competence in maintaining organizational and industry-specific quality standards